| Macmonster32 vs King | 5–9 | 35.71% |
| Macmonster32 vs Reina | 4–5 | 44.44% |
| Macmonster32 vs Eddy | 1–6 | 14.29% |
| Macmonster32 vs Jin | 2–4 | 33.33% |
| Macmonster32 vs Paul | 4–1 | 80.00% |
| Macmonster32 vs Hwoarang | 1–4 | 20.00% |
| Macmonster32 vs Panda | 2–3 | 40.00% |
| Macmonster32 vs Jun | 4–1 | 80.00% |
| Macmonster32 vs Azucena | 2–2 | 50.00% |
| Macmonster32 vs Law | 1–2 | 33.33% |
| Macmonster32 vs Asuka | 1–2 | 33.33% |
| Macmonster32 vs Fahkumram | 2–1 | 66.67% |
| Macmonster32 vs Lili | 0–2 | 0.00% |
| Macmonster32 vs Leo | 0–2 | 0.00% |
| Macmonster32 vs Nina | 2–0 | 100.00% |
| Macmonster32 vs Clive | 0–2 | 0.00% |
| Macmonster32 vs Steve | 1–0 | 100.00% |
| Macmonster32 vs Victor | 1–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.